Hello! I am

Phuoc H. Nguyen

Building AI, cloud, and analytics systems for mission and enterprise at scale.

About me

Operations Research Analyst and Electronic Warfare Officer with 16 years of experience in the U.S. Army. Skilled in applying advanced analytics, operations research, and data-driven insights to inform strategic and operational decisions. With TS/SCI clearance, I specialize in bridging data, mission, and business impact.

My expertise spans predictive analytics, statistical modeling, and emerging data engineering skills in Python, Spark, and AWS. I am a published AI researcher in text summarization and bias evaluation, and my work has informed major modernization decisions.

Directed predictive analytics and operations research initiatives that informed Army modernization and force readiness decisions.
16 years of military experience as an Electronic Warfare Officer and Operations Research Analyst, applying advanced analytics to mission-critical problems.
Proven leader managing cross-functional intelligence and data teams across DoD and interagency partners.
Advanced education spanning Applied Mathematics, Economics, Business, Statistics, and Computer Science; published researcher in text summarization and bias evaluation.
Tied 2nd (awarded 3rd) at NDIA Hackathon 2025 with Mission Tailor AI, demonstrating rapid prototyping and context-aware threat detection.

Phuoc H. Nguyen

Skills

Data Engineering & Analytics

Proficient in Python, R, and SQL for transforming raw data into decision-ready insights. Skilled in statistical modeling, hypothesis testing, and modern analytics pipelines (DuckDB, Spark, Parquet).

Network Simulation & Analysis

Hands-on with containerized labs, BGP/BFD routing, and Linux namespaces for reliability testing. Experienced in building telemetry pipelines from packets to analytics dashboards.

Modeling & Intelligence Analysis

Apply statistical and operations research models and build intelligence analysis frameworks for predictive insights. Evaluate and operationalize ML outputs where appropriate; translate findings into decisions.

Cloud & Architecture

Architect cloud-native data platforms with AWS, Spark, and Databricks. Design ETL pipelines, model lifecycle workflows, and scalable analytics systems that reduce costs and improve mission outcomes.

Projects

A showcase of my technical projects, research work, and professional contributions.

AI Text Summarization Research

Evaluating AI-generated text summaries using OpenAI's GPT model. Published research on iterative bias evaluation for sentiment-aware text summarization. Improved evaluation methods for bias detection in AI models.

View Research Published Paper
Questify - Habit Building AI

AI-powered habit-building app that helps users change behaviors through task completion and AI-suggested rewards. Features intelligent task and reward recommendations. Designed to improve habit formation consistency based on early pilot feedback.

Try App View Code
Predictive Analytics for Coronary Heart Disease

Applied logistic regression on the Framingham Heart Study dataset (4,240 participants) to identify 10-year CHD risk predictors. Key factors: Age, Sex, Hypertension, Diabetes. Delivered insights that improved model accuracy for heart disease risk prediction.

Read Paper Dataset
Packet-to-Lakehouse Telemetry

Convert captured packets into analytics-ready Parquet, then run SQL for top talkers, RTT, and retransmissions. Reduced packet analysis time by 60% through automated pipelines.

View Code
Namespace Fabric Builder

Spin up realistic multi-namespace topologies with ip netns, veth, bridges, and tc netem. Exports ping and iperf matrices for verification. Simplified complex lab setups, cutting configuration time by 40%.

View Code
Self-Healing Data Path

BGP + BFD failover: reconvergence in <300ms under single-link failure, with ≥90% throughput maintained. Automated test scripts included.

View Code
Mission Tailor AI (MTAI)

Tied 2nd place (awarded 3rd) at NDIA Hackathon 2025. A proof-of-concept AI service for context-aware threat detection across multiple modalities (visible, infrared, UAV, satellite). Built in 36 hours of training and coding, competing against industry-backed solutions.

View Photo

Resume

SECURITY CLEARANCE: TS/SCI; CI Polygraph

Website: https://phnguyen.com

GitHub: https://github.com/ngkenzy

Email: ngkenzy@gmail.com | Phone: (813) 508-0102

Education

  • MS in Computer Science – University of Colorado Boulder (in progress)
  • MS in Applied Statistics, Analytics, and Data Science – University of Kansas
    • Member of Mu Sigma Rho (National Statistical Honor Society)
  • MBA – University of Kansas
  • BS in Mathematics & Economics – Northern Illinois University

Military Education

  • Over ten years of experience, including eight years at the National Security Agency. Strong background in operations research, intelligence operations, and national security.
  • Military Intelligence Officer Captains’ Career Course
  • Signal Intelligence/Electronic Warfare Officer Course
  • Counterintelligence Operations Management Course
  • Intermediate Level Education
  • Security+, CompTIA(2017)
  • Fluent in Vietnamese language DLI Rating L30/S26/R30

Skills

  • Leadership & Team Management: 15+ years leading cross-functional intelligence and data science teams; improved collaboration and operational outcomes across DoD and interagency partners.
  • Communication & Influence: Skilled in briefing senior leaders and translating complex analytics into clear, actionable insights.
  • Problem Solving & Analytics: Expert in predictive analytics, reliability testing, and root-cause analysis to mitigate strategic threats and optimize operations.
  • Data Science & Engineering: Advanced experience in Python, R, SQL, DuckDB, Spark, and Parquet for building analytics-ready pipelines from raw data sources (PCAPs, gold tables, telemetry).
  • Mathematics & Statistics: Strong foundation in applied mathematics, probability, and statistical modeling; published work in text summarization and bias evaluation.
  • Strategic Thinking: Proven record of shaping modernization decisions through evidence-based analysis, scenario modeling, and war-gaming studies.
  • Coding & Automation: Proficient in Python, R, Bash, and containerized environments (Docker, Kubernetes, Containerlab); automate workflows for speed and reproducibility.
  • Networking & Systems: Hands-on with Linux namespaces, BGP/BFD routing, telemetry pipelines, and distributed data systems to support resilience and scale.

Professional Experience

July 2024 – Present — Data Operations Projects Lead, DoD Chief Digital and Artificial Intelligence Office (CDAO), Pentagon, Washington, D.C.

  • Lead a 30-member incident-response DataOps & analytics team delivering decision support for Joint Staff and Army senior leaders.
  • Architect and scale data pipelines and MLOps platforms across multi-classification environments (IL2, IL5, IL6).
  • Enabled integration and evaluation of analytics and decision-support tools for operations, logistics, and wargaming.
  • Coordinated with DISA and Combatant Commands to implement secure, cloud-native data pipelines and governance (DSA, PTA, ATO/IATT) across IL2/IL5/IL6 environments.

September 2021 – July 2024 — Lead Operations Research Analyst, Army Futures Command, The Research and Analysis Center, Fort Leavenworth, KS

  • Directed predictive analytics and simulation studies to guide Army modernization strategy.
  • Applied wargaming and statistical modeling to assess future force structure and readiness.
  • Produced analysis adopted by Army senior leadership and congressional stakeholders.

June 2018 – September 2021 — Cryptologic Officer (NSA Liaison), National Security Agency / U.S. Central Command HQ, MacDill AFB, FL

  • Led a 14-member intelligence/data team, improving NSA–CENTCOM collaboration and data-sharing efficiency by 30%.
  • Delivered intelligence products that directly supported counter-terrorism and regional operations.

May 2015 – June 2018 — Senior All-Source Intelligence Analyst (Cyber/EW), 780th Military Intelligence Brigade (Cyber), Fort George G. Meade, MD

  • Provided cyber intelligence and electronic warfare analysis supporting contingency operations.
  • Developed targeting assessments that enabled offensive and defensive cyber missions.

May 2011 – May 2015 — SIGINT/Electronic Warfare Analyst, U.S. Indo-Pacific Command, Japan

  • Coordinated intelligence operations across agencies and allies in support of forward-deployed units.
  • Enhanced regional situational awareness through signals intelligence fusion and electronic warfare support.